Research areas
Research areas
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Structural Health Monitoring
Structural Health Monitoring
Structural health monitoring (SHM) research involves implementing a damage detection strategy for aerospace, civil or mechanical engineering infrastructure. This process involves the observation of a structure or mechanical system over time using periodically spaced dynamic response measurements, the extraction of damage-sensitive features from these measurements and the statistical analysis of these features to determine the current state of system health. Structural failure might be the occurrence of one or more types of undesirable structural responses, including the violation of predefined limit states. Thus, the collapse of all or part of a structure, major cracking and excessive deflection are possible forms of failure, in this context, the structural reliability. This research investigates techniques that are able to detect and monitor the integrity of structures.
Vibration control, smart and programmable metamaterial
Vibration control, smart and programmable metamaterial
Piezoelectric materials (piezo) coupled with structures to control vibration and wave propagation are increasingly applied in various advanced multi-physical systems. Such active control involves a direct piezoelectric effect, which modifies the properties of rigidity and damping of the structure by adding circuits with different combinations of resistive, inductive, capacitive and switch elements. Therefore, it changes the state variables of a physical, mechanical, and electrical domain and vice versa. These systems allow the evolution of smart materials, where on-demand property modulation potentiality can be obtained through passive, active and hybrid control. This research area aims to explore the dynamic behaviour of smart materials and metastructures and to demonstrate the effects of various shunt circuits to control structural and biomechanic system vibration along with wave propagation and attenuation.
Analytical and Numerical modelling based on wave propagation, spectral element method and finite element method
Analytical and Numerical modelling based on wave propagation, spectral element method and finite element method
An effective and popular technique used in many engineering areas is the Finite Element Method (FEM). Nevertheless, in certain dynamical applications in mid-high frequency band analysis FEM requires many finite elements to obtain an accurate solution. In these cases, the solution can become too expensive or infeasible from a computational point of view. This research area mainly uses such techniques as analytical, SEM, and FEM to model and characterise the dynamic response of systems and structures.
Artificial intelligence, Machine learning, Uncertainty quantification, stochastic modelling
Artificial intelligence, Machine learning, Uncertainty quantification, stochastic modelling
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